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Paper Citation Record · LEDGER

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA

As of 21 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.26618.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.26618 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:17:00.845037Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 212f09ea-c41c-4ffd-8c9d-342293ba1bd8 · outbound

This paper cites 2020 , publisher =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA 2020 , publisher =

Reference 1

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source=arxiv_source observed=2026-08-01T12:16:54.949376Z digest=sha256:fc27efc72183f50d0b9e56711ee60790dadbb137079d53792b12d3bfa3f4922b

Observation 998561b0-efe1-40f6-b49a-a724f004515c · outbound

This paper cites Think You Have Solved Question Answering? Try.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Think You Have Solved Question Answering? Try

Reference 2

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source=arxiv_source observed=2026-08-01T12:16:55.107890Z digest=sha256:69cbbf905e379a1ad1151fd7cacf844906ac5b8e4955d7eaf2c1ed901cd3d2bf

Observation 1e96306c-49ba-4c45-bf6a-70872aa51fc0 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Training Verifiers to Solve Math Word Problems

Reference 3

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source=arxiv_source observed=2026-08-01T12:16:55.252384Z digest=sha256:f3effce23075ae97afe19194236e5d79206c7ad677537ee5dda615c7080aa60b

Observation 492422b9-f300-4c0f-bdce-534526b1e86c · outbound

This paper cites an unresolved cited work.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-01T12:16:55.397261Z digest=sha256:4b7c345e815edc6f3134624f73e61d3741f975aa36dbba89d1ac3c0986cccd76

Observation 75d4140a-7bf5-4ad7-8666-fbe4aa98abe9 · outbound

This paper cites Journal of Machine Learning Research , volume =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Journal of Machine Learning Research , volume =

Reference 5

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source=arxiv_source observed=2026-08-01T12:16:55.530881Z digest=sha256:460d0fd5cc3188c142a2991f90b6405d3fcc34da9435f8ef356fc9bdac1f9e0e

Observation f6ba3d60-9f35-47d8-a101-c59ebbdbdb25 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

Reference 6

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source=arxiv_source observed=2026-08-01T12:16:55.648540Z digest=sha256:989fab8636790bd9dbc123680fe4ecd99bb6aafcea2275239d938cadb780cc00

Observation 5f2066e4-5ac4-4b24-8bd9-b8b4547dbd13 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Advances in Neural Information Processing Systems , volume =

Reference 7

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source=arxiv_source observed=2026-08-01T12:16:55.757321Z digest=sha256:e417b620a333901de8de762eaed0d643150498ec20e9984242239d2b9f15a162

Observation 180a3a1c-6bf4-4f58-99e6-d59728e0d2dd · outbound

This paper cites International Conference on Learning Representations , year =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA International Conference on Learning Representations , year =

Reference 8

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source=arxiv_source observed=2026-08-01T12:16:55.914080Z digest=sha256:85dc9c438545e88378852099dc24dc10424d78eb35ecd967e8b1807759250246

Observation 946cbfbb-80a2-4344-bba5-4a17400e87f9 · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle =

Reference 9

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source=arxiv_source observed=2026-08-01T12:16:56.068673Z digest=sha256:51102c91c56424ba82afb68550345ee7dd2cc7774189ee63fcadc77334679afb

Observation 9f9f46a5-c838-4ac9-8919-6f03cf796c40 · outbound

This paper cites Foundations and Trends in Machine Learning , volume =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Foundations and Trends in Machine Learning , volume =

Reference 10

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Observation 5f5aa40e-7a68-47ae-a779-f19064b8607e · outbound

This paper cites 2020 , publisher =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA 2020 , publisher =

Reference 11

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source=arxiv_source observed=2026-08-01T12:16:56.270534Z digest=sha256:f35f4a94b3180fffc7693c8d2dfab983f13e4650df6ed186b5cb08fc9b83d75f

Observation 31afefc1-9662-4327-98ae-c4cba834d76b · outbound

This paper cites Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak--.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak--

Reference 12

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source=arxiv_source observed=2026-08-01T12:16:56.346173Z digest=sha256:720be1a4818796b00e66d89d389077e9609ab7f128eed586e80e381fb679e5ec

Observation 4b72cb74-1b81-401b-9df2-56ba7cac6ab7 · outbound

This paper cites Proceedings of Machine Learning and Systems , volume =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Proceedings of Machine Learning and Systems , volume =

Reference 13

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Observation 8d400cc2-72ad-4e9a-a761-c394bd4fbe9b · outbound

This paper cites an unresolved cited work.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-01T12:16:56.562872Z digest=sha256:d90763561cd6fa75281650258ff2dc52e26db83bc52484d1520849c7d6b1806a

Observation edd72bc7-a151-49fd-9b25-70838f730232 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Advances in Neural Information Processing Systems , volume =

Reference 15

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Observation 556a391e-4f96-44a4-9a25-39bffc2705d9 · outbound

This paper cites Proceedings of the 20th International Conference on Artificial Intelligence and Statistics , series =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Proceedings of the 20th International Conference on Artificial Intelligence and Statistics , series =

Reference 16

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Observation 97edc7ea-5dfd-4188-ab3f-99aa87c8de63 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Gemma 2: Improving Open Language Models at a Practical Size

Reference 17

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Observation 7c2d9fc9-fe8f-4039-bba8-c2686d674581 · outbound

This paper cites Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level

Reference 18

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Observation 83e4c716-3cb3-4140-8bb6-86c181f17ed2 · outbound

This paper cites 2023 , publisher =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA 2023 , publisher =

Reference 19

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Observation 92e14d40-ed15-411c-89d2-b01e8aa936ea · outbound

This paper cites Federated Mixture of Experts.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Federated Mixture of Experts

Reference 20

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Observation 4723f2b3-aa11-47b5-aa45-cc0ef98349a9 · outbound

This paper cites Journal of Computational and Applied Mathematics , volume =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Journal of Computational and Applied Mathematics , volume =

Reference 21

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Observation 3f2db7b1-12ce-41a6-b7bc-c049790353f4 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA IEEE Transactions on Neural Networks and Learning Systems , volume =

Reference 22

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Observation 86b378ba-1ec9-4cda-850a-614a5cf5edc3 · outbound

This paper cites International Conference on Learning Representations , year =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA International Conference on Learning Representations , year =

Reference 23

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Observation 532b36cc-c0f2-4387-b14d-15fedb6f83b0 · outbound

This paper cites an unresolved cited work.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 24

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Observation 8b7b02e2-0a0e-43ab-aa96-9ca6848bdb92 · outbound

This paper cites Improving.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Improving

Reference 25

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Observation a632b729-343d-4441-83ce-ffad495b7066 · outbound

This paper cites Task-Centric Personalized Federated Fine-Tuning of Language Models.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Task-Centric Personalized Federated Fine-Tuning of Language Models

Reference 26

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Observation 221d8f88-00b1-4ce0-8888-6c4bc45d9ebf · outbound

This paper cites 2026 , doi =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA 2026 , doi =

Reference 27

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Observation 6930ffa4-5084-4df0-86a5-5bc96260c4fa · outbound

This paper cites an unresolved cited work.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 28

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Observation 2962ef1f-d3e5-4183-8787-dd0c870016eb · outbound

This paper cites Heterogeneous.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Heterogeneous

Reference 29

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Observation 204a2c00-9fd7-425f-8bfd-70d6c280d062 · outbound

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FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 30

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Observation b5ab0376-2f58-4d94-b7a3-bccc9717900a · outbound

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FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Adaptive

Reference 31

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Observation 8cb7da50-bd85-417f-9b5f-a8f54380bc8d · outbound

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FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA 2024 , doi =

Reference 32

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Observation bd96598d-7625-48fa-a651-c351ba666442 · outbound

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FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Specialized federated learning using a mixture of experts

Reference 33

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Observation 7d091d0d-3195-4594-a963-010e7af14395 · outbound

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FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Towards Building the Federated

Reference 34

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Observation efa49da1-8e16-4b17-ac1e-70ecb8a51420 · outbound

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FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 35

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Observation a4db26c2-3de3-42a1-81e4-6db96175e2c9 · outbound

This paper cites an unresolved cited work.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 36

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FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Hybrid Routing for a Mixture of

Reference 37

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Observation 056e40c0-d468-425f-bdbb-55745e89d2bb · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , pages =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , pages =

Reference 38

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Observation ff2c1a00-bae3-4513-ba80-a4bee448d965 · outbound

This paper cites an unresolved cited work.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 39

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Observation b2eb30ba-efcf-4d9f-bd41-bd46f1be4618 · outbound

This paper cites 2025 , doi =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA 2025 , doi =

Reference 40

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FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 41

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Observation 008724f1-b2c6-4078-a353-776a97eeb431 · outbound

This paper cites and Vepakomma, Praneeth , journal =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA and Vepakomma, Praneeth , journal =

Reference 42

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Observation f1a16fdd-29da-4ea5-9d2a-42702d704225 · outbound

This paper cites Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated

Reference 43

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unresolved
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Observation 2fe48547-6d28-4931-9be9-95d6a607a886 · outbound

This paper cites an unresolved cited work.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Unresolved cited work

Reference 44

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Source-reported events for the cited work

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Observation ab918f34-0ce0-4133-bb13-aba78184be90 · outbound

This paper cites Neurocomputing , volume =.

FedWeave: Rethinking the Unit of Specialization in Heterogeneous Federated MoE-LoRA Neurocomputing , volume =

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T12:17:00.845037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.